Mining and optimal selection strategy of integrated energy project based on fuzzy evaluation of power big data
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(1. Limited Skills Training Center, State Grid Jibei Electric Power Co., Ltd., Baoding 071000, China; 2. State Grid Baoding Electric Power Supply Company, Baoding 071000, China)

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    Abstract:

    With the reform of power system and the development of energy Internet industry, developing integrated energy service will be an important direction of business transformation of power enterprises. Focusing on the mining and application of power supply companies’big data, such as electricity load, electricity quantity, payment and so on, from 3 dimensions of customer credit,customer value and customer risk, an integrated energy project mining and cultivation evaluation index system is constructed. The index system includes 9 specificmdicators, such as monthly average pre-deposit ratio, monthly average times of arrears, and monthly average times of power outage. Optimization strategy of integrated energy project based on fuzzy evaluation is proposed, which uses big data to evaluate the internal conditions of potential customers, thus providing certain support for mining high - quality potential customers. Finally, taking 8 random customers for the case study, the results show the effectiveness of the method based on the project evaluation index system.

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张国云,孔令号,杨伯青,沈嘉昆.基于电力大数据模糊评价的综合能源项目挖掘优选策略[J].电力需求侧管理英文版,2021,23(2):85-89.

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History
  • Received:November 10,2020
  • Revised:February 15,2021
  • Adopted:
  • Online: March 19,2021
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